Ramanathan Sowdhamini

5.8k citations
251 papers · 4.1k indexed · h-index 32
Topics
Protein Structure and Dynamics (77 papers)Genomics and Phylogenetic Studies (46 papers)Machine Learning in Bioinformatics (44 papers)

In The Last Decade

Ramanathan Sowdhamini

243 papers receiving 4.0k citations

Peers

Ramanathan Sowdhamini
Comparison fields: 5 of 134
  • Molecular Biology 2.9k
  • Materials Chemistry 531
  • Plant Science 514
  • Cellular and Molecular Neuroscience 468
  • Genetics 382
Replace Shmuel Pietrokovski with:
Shmuel Pietrokovski Israel
Roberto Sánchez United States
Konstantin Schütze Germany
Yoshitaka Moriwaki Japan
David Eramian United States
Balaji Santhanam United States
Oriano Marin Italy
Ambrish Roy United States
Francisco Melo Chile
Anthony R. Kerlavage United States
Ramanathan Sowdhamini relative to Shmuel Pietrokovski Israel Shmuel Pietrokovski's profile →
Citations per field
00.5×3.0×
Shmuel Pietrokovski · 1×
Citations per year

Countries citing papers authored by Ramanathan Sowdhamini

Since Specialization
Citations

This map shows the geographic impact of Ramanathan Sowdhamini's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ramanathan Sowdhamini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramanathan Sowdhamini more than expected).

Fields of papers citing papers by Ramanathan Sowdhamini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ramanathan Sowdhamini. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ramanathan Sowdhamini. The network helps show where Ramanathan Sowdhamini may publish in the future.

Co-authorship network of co-authors of Ramanathan Sowdhamini

This figure shows the co-authorship network connecting the top 25 collaborators of Ramanathan Sowdhamini. A scholar is included among the top collaborators of Ramanathan Sowdhamini based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ramanathan Sowdhamini. Ramanathan Sowdhamini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 1
4 1
5 4
6 3
7 2
8 37
9 6
10 18
11 2
12 15
13 17
14 4
15 66
16 23
17 7
18 5
19 26
20 8

About Ramanathan Sowdhamini

Ramanathan Sowdhamini is a scholar working on Molecular Biology, Sensory Systems and Cellular and Molecular Neuroscience, having authored 251 papers that have together received 4.1k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (77 papers), Genomics and Phylogenetic Studies (46 papers) and Machine Learning in Bioinformatics (44 papers). The work is most often cited by research in Molecular Biology (2.9k citations), Aging (60 citations) and Cellular and Molecular Neuroscience (468 citations). Ramanathan Sowdhamini has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Narayanaswamy Srinivasan, C. Ramakrishnan, Lokesh P. Tripathi, Khader Shameer, Anshul Sukhwal, P. Balaram, Ganesan Pugalenthi, Raghu Metpally, Anirban Bhaduri and Bernard Offmann. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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